OpenStats (original) (raw)

This is the released version of OpenStats; for the devel version, seeOpenStats.

A Robust and Scalable Software Package for Reproducible Analysis of High-Throughput genotype-phenotype association

Bioconductor version: Release (3.21)

Package contains several methods for statistical analysis of genotype to phenotype association in high-throughput screening pipelines.

Author: Hamed Haseli Mashhadi

Maintainer: Marina Kan

Citation (from within R, enter citation("OpenStats")):

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("OpenStats")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("OpenStats")

Details

biocViews BatchEffect, Bayesian, Software, StatisticalMethod
Version 1.20.0
In Bioconductor since BioC 3.11 (R-4.0) (5 years)
License GPL (>= 2)
Depends nlme
Imports MASS, jsonlite, Hmisc, methods, knitr, AICcmodavg, car, rlist, summarytools, graphics, stats, utils
System Requirements
URL https://git.io/Jv5w0
Bug Reports https://git.io/Jv5wg

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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package OpenStats_1.20.0.tar.gz
Windows Binary (x86_64) OpenStats_1.20.0.zip (64-bit only)
macOS Binary (x86_64) OpenStats_1.20.0.tgz
macOS Binary (arm64) OpenStats_1.20.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/OpenStats
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/OpenStats
Bioc Package Browser https://code.bioconductor.org/browse/OpenStats/
Package Short Url https://bioconductor.org/packages/OpenStats/
Package Downloads Report Download Stats